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通过动态心电图诊断阻塞性睡眠呼吸暂停综合征:心率变异性时域和频域分析在中国人中的临床评估。

Identification of obstructive sleep apnea syndrome by ambulatory electrocardiography: clinical evaluation of time-domain and frequency-domain analyses of heart rate variability in Chinese patients.

机构信息

Department of Cardiology, Aviation Industry Central Hospital, An Ding Men Wai Bei Yuan Road 3, Beijing, 100012, China.

出版信息

Cell Biochem Biophys. 2011 Apr;59(3):165-70. doi: 10.1007/s12013-010-9128-6.

Abstract

The application of ambulatory electrocardiography to identify obstructive sleep apnea syndrome (OSAS) patients was evaluated using time-domain and frequency-domain analyses of heart rate variability (HRV). For this, overnight sleep pattern was investigated in 95 individuals (48 OSAS(+) patients and 47 OSAS(-) controls) by polysomnography and 24-h ambulatory electrocardiography. Apnea scores were calculated using two different HRV analyses. Average age and body mass index, and percentages of men and of patients with history of hypertension and/or diabetes were higher in study group as compared with control group. PNN50(night), SDNNI(day-night) and SDNNI(day-night) in time-domain analysis were more sensitive than other indices. In frequency-domain analysis, mean night-time total power, night-time VLF power, night-time LF power, and the difference between these measures in day and night were significantly higher in study group. LF/HF ratio was also significantly higher in study group in day-time or night-time with a significant difference (P < 0.05) between day and night. At sleep apnea risk score >4, sensitivity, specificity, and positive predictive value were, respectively, 81.25, 46.81, and 64.21%. At sleep apnea risk scores >5, 6, or 7, the specificity increased, while the sensitivity and positive predictive value decreased. In conclusion, time-domain and frequency-domain HRV analyses are useful methods for OSAS screening, and the frequency-domain analysis is more sensitive.

摘要

应用动态心电图分析心率变异性(HRV)的时域和频域分析来识别阻塞性睡眠呼吸暂停综合征(OSAS)患者。为此,通过多导睡眠图和 24 小时动态心电图对 95 名个体(48 名 OSAS(+)患者和 47 名 OSAS(-)对照组)进行了整夜睡眠模式研究。使用两种不同的 HRV 分析计算了呼吸暂停评分。与对照组相比,研究组的平均年龄和体重指数以及男性比例、高血压和/或糖尿病病史患者的比例更高。时域分析中的 PNN50(夜间)、SDNNI(白天-夜间)和 SDNNI(白天-夜间)比其他指标更敏感。在频域分析中,研究组夜间总功率、夜间 VLF 功率、夜间 LF 功率以及白天和夜间这些测量值之间的差异均显著高于对照组。LF/HF 比值在白天和夜间也显著高于对照组,且白天和夜间之间存在显著差异(P<0.05)。在睡眠呼吸暂停风险评分>4 时,敏感性、特异性和阳性预测值分别为 81.25%、46.81%和 64.21%。在睡眠呼吸暂停风险评分>5、6 或 7 时,特异性增加,而敏感性和阳性预测值降低。总之,时域和频域 HRV 分析是 OSAS 筛查的有用方法,且频域分析更敏感。

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